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Analog driving feature control brain machine interface

A brain-computer interface and controller technology, which is applied to control devices, driver input parameters, biological neural network models, etc., can solve the problem of undisclosed fuzzy state logic, and achieve the effect of providing convenience and robustness.

Pending Publication Date: 2022-02-22
FORD GLOBAL TECH LLC
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

While the system described in the '830 publication can use certain aspects of EEG data for vehicle signal control, the '830 publication does not disclose fuzzy state logic that can increase the reliability of control signals that can buffer unintended control commands

Method used

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  • Analog driving feature control brain machine interface
  • Analog driving feature control brain machine interface
  • Analog driving feature control brain machine interface

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Embodiment Construction

[0019] The present disclosure will be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the disclosure are shown and not intended to be limiting.

[0020] figure 1 Depicted is an exemplary computing environment 100 that may include one or more vehicles 105 including a vehicle computer 145 and a vehicle control unit (VCU) 165 that typically includes a vehicle control unit (VCU) 165 configured to A plurality of electronic control units (ECUs) 117 in communication with a vehicle computer 145 and a brain-machine interface (BMI) device 108 . The nomadic device 120 (which may be associated with the user 140 and the vehicle 105 ) may interface with the vehicle computer 145 using wired and / or wireless communication protocols and transceivers. The nomadic device 120 may be communicatively coupled to the vehicle 105 via one or more networks 125, and / or may use near field communication (NFC) protocols, Protocol, Wi-Fi, Ultr...

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PUM

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Abstract

The invention provides an analog driving feature control brain machine interface. Embodiments describe a system configured with a brain machine interface (BMI) system implemented in a vehicle for performing vehicle functions using electrical impulses from motor cortex activity in a user's brain. The system uses fuzzy states for increased robustness. The fuzzy states are defined by sets of Gaussian kernel-type membership functions that are defined for steering and velocity action function states. The membership functions define fuzzy states that provide overlapping control tiers for increasing and decreasing vehicle functionality. An autonomous vehicle may perform control and governance of transitions between membership functions that may overlap, resulting in smooth transitioning between the states.

Description

technical field [0001] The present disclosure relates to brain-computer interfaces, and more particularly, to vehicle control utilizing brain-computer interfaces. Background technique [0002] A brain-computer interface (BMI) is a technology that enables humans to provide commands to computers using human brain activity. The BMI system provides control input by interfacing the electrode array with the motor cortex region of the brain and decoding the received activity signals using a neural decoder trained to convert neuronal firing patterns into discrete control commands. [0003] BMI interfaces may include direct contact electrode interface technology that works with invasive direct contact with areas of the human brain's motor cortex, and may also include non-invasive technology in which a wireless receiver uses the scalp, temple, etc. that can externally contact the user's head. , forehead, or other areas with an electric-field electroencephalography (EEG) receiver to ...

Claims

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Application Information

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IPC IPC(8): B60W50/08B60R16/023
CPCB60W50/08B60R16/0231G06F3/015G06N7/02G06N3/08G06N20/10B60W50/10B60W2540/221B60W40/08B60W2540/22B60W10/18B60W10/20
Inventor 阿里·哈桑尼阿尼鲁德·瑞维达冉迪米塔尔·费尤伍维贾伊·纳加萨米
Owner FORD GLOBAL TECH LLC
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